InBio/Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Universidade de Évora, Largo dos Colegiais, 7000 Évora, Portugal; Department of Biology, McGill University, 1205 Avenue Docteur Penfield, Montreal, QC H3A 1B1, Canada.
InBio/Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Universidade de Évora, Largo dos Colegiais, 7000 Évora, Portugal; Departmento de Biogeografía y Cambio Global, Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas (CSIC), Calle José Gutiérrez Abascal 2, 28006 Madrid, Spain; Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.
Trends Ecol Evol. 2015 Jun;30(6):347-56. doi: 10.1016/j.tree.2015.03.014. Epub 2015 Apr 24.
Inferring biotic interactions from functional, phylogenetic and geographical proxies remains one great challenge in ecology. We propose a conceptual framework to infer the backbone of biotic interaction networks within regional species pools. First, interacting groups are identified to order links and remove forbidden interactions between species. Second, additional links are removed by examination of the geographical context in which species co-occur. Third, hypotheses are proposed to establish interaction probabilities between species. We illustrate the framework using published food-webs in terrestrial and marine systems. We conclude that preliminary descriptions of the web of life can be made by careful integration of data with theory.
从功能、系统发育和地理代理推断生物相互作用仍然是生态学的一个重大挑战。我们提出了一个概念框架，以推断区域物种库内生物相互作用网络的骨干。首先，确定相互作用的群组，以对链接进行排序，并消除物种之间的禁止相互作用。其次，通过检查物种共同出现的地理背景，去除额外的链接。第三，提出假设以确定物种之间的相互作用概率。我们使用已发表的陆地和海洋系统的食物网来说明该框架。我们的结论是，通过仔细整合数据和理论，可以对生命之网进行初步描述。
